Data Science Manager

The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines.

StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success.

You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need for planning of team structure and growth as we put more investment into ML, especially understanding the best ways of building and applying generative AI solutions within our product.

You will be joining at a critical time for the Data Science practice and the company – while the value of this discipline has been established and there’s a high performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g. causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader of this team, you will be in charge of shaping and materializing that vision.

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA 

• →Technical project scoping and planning
• →Partner with cross-functional stakeholders across the business, executives, and data team
• →Technical review and architecture oversight
• →Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc
• →Surface infrastructure needs and onboard solutions

• →8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment
• →8 - 10 years of experience managing high performant data science team.
• →Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels)
• →Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow
  
  
• →Nice to Haves
  • →Worked at a consumer tech company
  • →Experience with GenAI/LLM/Agentic workflows in a production setting
  • →Hands-on experience with graph based machine learning and recommendation systems